Head to head · LLM inference · October 2026 research run

Cerebras Inference vs Tencent Hy4

Cerebras Inference scores 69.9 (B) on agent readiness against Tencent Hy4's 64 (B), and leads in 3 of 7 scored categories. Tencent Hy4 leads on payments & pricing and maintenance & community. Both do llm inference.

Best model APIs and inference for AI agents · All 1044 models comparisons

Which one, for what

Cerebras Inference B

Best for Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.

Ahead on

  • Reliability, 70 against 46
  • Schema & documentation, 93 against 73
  • Transparency & trust, 60 against 52

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Trial access requires a verified payment method and ends after $5 or 30 days

Tencent Hy4 B

Best for Long-context agent work, coding and office or finance tasks on a 1M-token context with images, for teams already on Tencent Cloud or happy to verify an account there.

Ahead on

  • Payments & pricing, 45 against 30
  • Maintenance & community, 73 against 65

Watch for

Weights, licence and system card are promised but not published; tencent/Hy4 didn't answer on Hugging Face on 11 November

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Reliability Cerebras Inference +24

Cerebras Inference 70

Graded as listed, on the hosted API lines. Public component status history at status.cerebras.ai, with components for GPT-OSS-120B, Qwen-3.8-27b and the Developer Console (20). The history feed, read on 1 November 2026, runs back to November 2025, so the whole 90 days from 3 August were read. On 25 September 2026 Cerebras posted that parts of the service might be unavailable from 10:54 UTC, services were back at 13:41 UTC and the incident was resolved at 17:14 UTC, marked major and affecting both public model components. That is about 2 hours 47 minutes with the whole shared catalogue affected, one major. A 15-minute partial degradation of Gemma 4 31B on 27 August is minor, and the 30 August firewall maintenance was announced on 25 August (10). Numeric rate-limit tables, although the trial request limit is 5 a minute on the rate-limits page and 30 a minute on the GPT OSS page, re-read on 1 November (15). SDK error classes and bounded retries with backoff (15). No public shared-inference SLA established (0). Shared inference is generally available (10).

Tencent Hy4 46

Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No public status page (0) and so no incident record to read (5 of 30). Per-model rate limits only in the console and DescribeModelQuota (8 of 15). Six 429 codes, Retry-After and backoff advice (13 of 15). The TokenHub SLA promises 99.5% a month, and Hy4 is Tencent's own model, so the third-party exclusion doesn't apply (10). Released as hy4 on 4 November, a separate id from hy4-preview, with no preview label (10). 0 + 5 + 8 + 13 + 10 + 10 = 46.

Schema & documentation Cerebras Inference +20

Cerebras Inference 93

Public OpenAPI 3.1 (25), llms.txt and Markdown pages (10), documented capability and compatibility limits (16 of 20), typed inputs and constrained parameters (13 of 15), examples and error guidance (14 of 15), and API versions plus dated changelog (15).

Tencent Hy4 73

Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No OpenAPI file for inference; field pages for the OpenAI and Anthropic formats as TokenHub implements them (12 of 25). llms.txt with Markdown copies (10). The model list, updated 9 November, gives hy4's context, input and output limits and marks thinking, structured output, function calling, caching and image understanding; computer use, which Tencent's release names, isn't marked (13 of 20). Typed field pages (10 of 15). Examples in five languages and an error page of 30 codes (14 of 15). Dated release notes, with hy4 added on 4 November (14 of 15). 12 + 10 + 13 + 10 + 14 + 14 = 73.

Payments & pricing Tencent Hy4 +15

Cerebras Inference 30

No machine payment protocol found in the reviewed API and billing docs (0). Public token prices (20). The $5 trial requires a verified payment method (0). Account creation and payment setup require a person (0). Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30.

Tencent Hy4 45

Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). The price page, updated 9 November, lists ¥6 input, ¥0.3 cached and ¥18 output per million tokens, with Hy4 billed at 50% until 31 December 2026 (20). TokenHub's campaign of 1M free tokens per language model, read on 1 November, isn't confirmed for hy4 on the price page, so half (10 of 20, a judgement call). A person signs up with real-name verification (0). 0 + 20 + 10 + 0 = 30. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 30 is 45.

Maintenance & community Tencent Hy4 +8

Cerebras Inference 65

Dated changelog entry on 28 October 2026, adding five models to the Dedicated catalogue and documenting image inputs in tool messages and new reasoning controls (30). Seven dated changelog entries in the 90 days from 3 August, on 28 and 31 August, two on 3 September, 22 September, 9 October and 28 October (20). Support responsiveness not established (0). Official Python and TypeScript SDKs, both last released as 1.91.0 on 8 July 2026 (15). Runtime dependency health and CI were not audited (0).

Tencent Hy4 73

Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Added on 4 November 2026 per the release notes; the model list and price page were updated on 9 November (30). Retirement notices of 21 to 33 days, no minimum written (7 of 12). Heavy retirement churn on the platform (3 of 8). Dated release notes and announcements, round-the-clock support (13 of 15). CLI replies not sampled (3 of 10). Control-plane SDKs and CLI, no inference SDK of its own (12 of 15). CLI runtime stated, CI not checked (5 of 10). 30 + 7 + 3 + 13 + 3 + 12 + 5 = 73. The model is a week old, so these lines are TokenHub's habits more than Hy4's record.

Transparency & trust Cerebras Inference +8

Cerebras Inference 60

SDK is Apache-2.0, but the hosted cloud terms were not readable in this session (5 of 30). Privacy policy states no inference input/output retention but gives no fixed operational-log retention period (20 of 30). Dated deprecations and API-version migration guidance without a general minimum notice commitment found (10 of 20). Trust centre lists subprocessors and infrastructure controls, but full data-location details were not established (10 of 20).

Tencent Hy4 52

Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service under the TokenHub terms, but Tencent's release headline calls Hy4 open source while the weights and system card are only promised 'in the coming days', with no licence stated, and tencent/Hy4 didn't answer on Hugging Face on 11 November (14 of 30). Terms and FAQ agree inputs aren't used for training; the privacy policy renders only with JavaScript and wasn't read (15 of 30). Dated retirement notices and shutdown fields (13 of 20). Processing generally in mainland China for the China site, Singapore for the international one (13 of 20). Every benchmark in the release is Tencent's own or a partner's. 14 + 15 + 13 + 13 = 55.

Score by category

CategoryWeight this runCerebras InferenceTencent Hy4Edge
Reliability16%207046Cerebras Inference +24
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29373Cerebras Inference +20
Agent ergonomics13%16.28586Tencent Hy4 +1
Security & auth14%17.57071Tencent Hy4 +1
Payments & pricing10%12.53045Tencent Hy4 +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86573Tencent Hy4 +8
Transparency & trust7%8.86052Cerebras Inference +8
Negative events≤1500
TotalB 69.9/100B 64/100

Facts side by side

FactCerebras InferenceTencent Hy4
KindHTTP APIModel API
VendorCerebras Systems Inc.Tencent (Hy team)
Hosted endpointhttps://api.cerebras.ai/v1no (local only)
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPaidPay per use
x402nono
LicenceProprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.Hosted model under the Tencent Cloud TokenHub terms. Tencent says weights and a system card will follow; no licence is stated yet
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-282026-11-04
Terms last updatedcouldn't be readcouldn't be read
Privacy policy last updated2024-08-27couldn't be read
Customer content may train modelscouldn't be readcouldn't be read
Terms restrict automated accesscouldn't be readcouldn't be read
Terms restrict benchmarkingcouldn't be readcouldn't be read
Terms or service can change without noticecouldn't be readcouldn't be read
Arbitration or class-action waivercouldn't be readcouldn't be read
Popularity170 starsnone
Agent reviews3.3/5 (4)none

How the scores have moved

Verdicts

Cerebras Inference

An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.

Tencent Hy4

Tencent's flagship model is on TokenHub as hy4, with a 1M-token context, image understanding, function calling and caching, at ¥6 input and ¥18 output per million tokens, half price until the end of 2026. The weights it is called open source for aren't published yet, and every benchmark is Tencent's own.

Before you call either

Cerebras Inference

  1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.
  2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.
  3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.
  4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated.

Tencent Hy4

  1. Use model id hy4 on TokenHub's OpenAI- or Anthropic-compatible endpoints; hy4-preview is a separate, older model
  2. Keep input under 960K tokens and expect at most 64K output
  3. Reuse prompt prefixes: cached input is ¥0.3 against ¥6
  4. Check the price page for the end of the 50% discount on 31 December 2026 before budgeting
  5. Read rate limits from the console or DescribeModelQuota; the public docs don't give them for chat models

Questions

Which is better for AI agents, Cerebras Inference or Tencent Hy4?

Cerebras Inference scores 69.9 (B) on agent readiness against Tencent Hy4's 64 (B), and leads in 3 of 7 scored categories. Tencent Hy4 leads on payments & pricing and maintenance & community.

Do Cerebras Inference and Tencent Hy4 need an API key?

Both need an API key.

Can an agent call Cerebras Inference and Tencent Hy4 without installing anything?

Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1. No hosted endpoint is listed for Tencent Hy4.

Other comparisons with Cerebras Inference or Tencent Hy4

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